Comment vendre de l'ia en 2026 🔥(TUTO COMPLET)

Comment vendre de l'ia en 2026 🔥(TUTO COMPLET)

How to Sell AI in 2026 🔥 (FULL TUTORIAL)

by iAlan · View the channel on PSI

Applied Sciences & Engineering Economics & Finance KJBusiness and ManagementKJSSales and marketing
🎙 iAlan 👥 8K 📅 July 30, 2026 ⏱ 12 min 👁 616 📄 tutorial 🧭 2026-09-12
Available in: English (current) Français

Keywords

prospectionIALinkedInémailautomatisation

Summary

This tutorial by iAlan explains how to sell AI services without upfront advertising costs using automated prospecting powered by AI. The creator demonstrates a workflow combining LinkedIn scraping via Monid.ai, email drafting and sending through Claude Code, and integrating Gmail using Maton.ai. He compares Monid’s pay-per-use pricing with Apify’s subscription model to highlight cost efficiency. Two use cases are shown: prospecting AI companies for content collaboration, and reaching out to luxury real estate developers by hosting a demo website on Vercel. The video claims real responses were received within minutes of sending only five personalized emails, including from a CEO. It emphasizes the shift from technical skills to marketing skills in the AI era. The tutorial is beginner-friendly, requires only a Claude subscription, and all tools are claimed to be free or low-cost. The creator concludes by encouraging niche specialization and conversion management.

143 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a step-by-step actionable guide for setting up an automated prospecting system. It argues that selling is more important than building in the AI era, and presents automated outreach as a cost-effective alternative to paid ads. The argumentation is persuasive for beginners, relying on live demonstrations and a claimed real-world success. However, the success metric is only one positive reply, and the video lacks statistical evidence about conversion rates or long-term viability. The comparison between Monid and Apify is informative but may be biased as Monid is the recommended tool.

Scientific Rigor, Source Quality, Title Accuracy

The creator is transparent about the tools used, providing links to Monid, Apify, Maton, and Claude Code. However, no external verification is provided for the claimed success, and the video contains promotional language. The title is accurate, but the ‘2026’ element is not discussed in the content. No comments were analyzed as none were provided.

162 words

Title / Content Match

The title accurately reflects the content: a tutorial on selling AI services through automated prospecting, though the '2026' aspect is not specifically addressed.

Quality & Reliability

6/10

The video presents a concrete method for automated prospecting using AI tools, but relies heavily on anecdotal success claims and lacks independent verification. The approach is practical and reproducible, though the effectiveness depends on the target market and message quality.

Chapters

Cited Sources

  • Monid.ai — Main tool for scraping LinkedIn profiles and sending emails via a unified API, pay-per-use pricing.
  • Apify — Competitor tool with subscription pricing, compared to Monid in terms of cost.
  • Maton.ai — Service to connect Gmail to Claude Code for sending emails.
  • Claude Code download — Environment used to run the automation with Claude AI.

Contribution & Novelties

The video contributes a practical workflow combining several AI tools for automated B2B prospecting, with a focus on cost-effectiveness and personalization. It illustrates how to use Monid’s API with Claude Code to scrape leads and send personalized emails, a method not commonly shown in detail.

Pour aller plus loin :

  • Cold email — Foundation of automated outreach, addressing best practices and response rates.
  • Lead generation — Broader context of identifying and targeting potential customers.
  • Web scraping — Legal and technical aspects of extracting data from LinkedIn and other platforms.

89 words

Radar Profile

The radar chart shows a balanced profile with moderate scores in information quantity and quality, low technical level, and average reliability. This reflects a practical tutorial that is easy to follow but lacks depth and rigorous validation.

Reliability 5/10